Triple

T7011912
Position Surface form Disambiguated ID Type / Status
Subject Lengo language E162602 entity
Predicate glottologName P6521 FINISHED
Object Lengo E162602 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lengo | Statement: [Lengo language, glottologName, Lengo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengo
Context triple: [Lengo language, glottologName, Lengo]
  • A. Langa
    Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
  • B. Ikalanga
    Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
  • C. Loenga
    Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
  • D. Lengo language chosen
    The Lengo language is an Oceanic language spoken on Guadalcanal in the Solomon Islands, known for its place within the Southeast Solomonic subgroup.
  • E. Zangaléwa
    Zangaléwa is a popular 1986 makossa song by the Cameroonian group Golden Sounds, widely known across Africa and later internationally after being adapted into Shakira’s World Cup anthem "Waka Waka (This Time for Africa)."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc5729448190af66dbd6f3e8936e completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.